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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Gretelai Gretel synthetics LSTM Text Generation
- Workflow:Huggingface Optimum Model Export
- Workflow:Lance format Lance Vector Search Pipeline
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Huggingface Transformers Model Training With Trainer
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Openclaw Openclaw Channel Connection
Principles
- Principle:Zai org CogVideo Structural Similarity
- Principle:Scikit learn Scikit learn Stacking Ensemble
- Principle:Openclaw Openclaw Extension Configuration
- Principle:Dotnet Machinelearning Trial Result Extraction
- Principle:TA Lib Ta lib python Lookback Period Handling
- Principle:Nautechsystems Nautilus trader Cargo Manifest Conventions
- Principle:OpenGVLab InternVL Vision Language Projection
- Principle:Google deepmind Mujoco Plugin System
- Principle:Groq Groq python Stream Chunk Processing
- Principle:MaterializeInc Materialize Deployment Configuration Update
Implementations
- Implementation:Arize ai Phoenix Helm Values
- Implementation:Explodinggradients Ragas R2R Integration
- Implementation:Online ml River Bandit RandomPolicy
- Implementation:Interpretml Interpret Explain Local
- Implementation:Huggingface Diffusers AutoencoderKL Decode
- Implementation:Lm sys FastChat Get Peft State Maybe Zero 3
- Implementation:SeldonIO Seldon core Hodometer Metrics
- Implementation:Langfuse Langfuse API Client Score Schema
- Implementation:Anthropics Anthropic sdk python BaseClient
- Implementation:Risingwavelabs Risingwave GlueCredentialProvider
Heuristics
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Apache Airflow Task Idempotency Pattern
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:Online ml River ARF Drift Detection Sensitivity
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
Environments
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Openai Openai agents python Voice Dependencies
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Intel Ipex llm Portable Environment
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:TobikoData Sqlmesh Snowflake Connection
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies
- Environment:Protectai Llm guard ONNX Runtime Acceleration